|
|
Absolute deviation, 绝对离差
3 p V+ O; q+ {* S" B) j* vAbsolute number, 绝对数5 U8 Z, Z* t0 I3 e3 m" E
Absolute residuals, 绝对残差
: I1 ?( f+ e$ B/ v6 ] UAcceleration array, 加速度立体阵# @8 W3 S0 i, n' t
Acceleration in an arbitrary direction, 任意方向上的加速度
0 }- X* X" h( v; sAcceleration normal, 法向加速度
( T" [& M% D& TAcceleration space dimension, 加速度空间的维数9 L5 ~" d( J% Y5 J6 o/ P( e* V
Acceleration tangential, 切向加速度
0 Z# s/ Q% Y! k2 wAcceleration vector, 加速度向量
' @, b4 _5 Z, z$ r0 h) TAcceptable hypothesis, 可接受假设
1 G8 {# b _6 u# A2 h2 ~Accumulation, 累积
# Y( p: n' X( b6 r& |: k6 iAccuracy, 准确度# X( Q+ I7 P, E0 S
Actual frequency, 实际频数
2 e8 g2 G; X2 JAdaptive estimator, 自适应估计量
5 _8 \$ N+ {* d: G1 gAddition, 相加4 X) N$ j$ Y3 M0 ^$ ~2 ?
Addition theorem, 加法定理
0 S$ `( d& a/ j5 ^' v2 }0 UAdditivity, 可加性
# {/ p+ [3 [4 S4 O- O0 n% c& O' S% q# `Adjusted rate, 调整率
6 V( [9 Q/ J- b8 X* FAdjusted value, 校正值& ?. }0 R' c, Y7 D
Admissible error, 容许误差
7 K9 C* Q3 H! h) eAggregation, 聚集性
( H5 W E' {7 z# ~ n) {0 g/ U" EAlternative hypothesis, 备择假设" } B0 z* Y% f
Among groups, 组间
" O" T( v: M% m& g' a7 IAmounts, 总量
, f& e$ ^3 ~- \4 ^6 d. e# JAnalysis of correlation, 相关分析( ?$ o7 Z$ L l; l1 @
Analysis of covariance, 协方差分析: g& H* `' R, O4 T
Analysis of regression, 回归分析
/ d3 h4 f u9 T4 e( N" ~5 l; JAnalysis of time series, 时间序列分析
8 \' X# H+ l2 w* q4 A+ I, K9 a, |Analysis of variance, 方差分析4 j+ C2 J4 A& A$ A
Angular transformation, 角转换
- l8 S6 L( w+ {$ G# ~ANOVA （analysis of variance）, 方差分析
& G: h: V3 s! h1 X! P& tANOVA Models, 方差分析模型" f7 M7 v: \$ }( o; R; P2 Y8 V' [8 R. B
Arcing, 弧/弧旋
" D# F5 `7 m) \) R1 G5 X. ^Arcsine transformation, 反正弦变换: f/ A! c9 N) p: o' o
Area under the curve, 曲线面积7 T7 I- ]9 d9 |- c9 V% a
AREG , 评估从一个时间点到下一个时间点回归相关时的误差 8 c/ @! R% Q9 G7 k: `# o Q; ]! k
ARIMA, 季节和非季节性单变量模型的极大似然估计
+ B8 i- H' b6 Q, j: GArithmetic grid paper, 算术格纸' H- F) E) I, l' B" U) X% S
Arithmetic mean, 算术平均数# ?: @! G, Q* z
Arrhenius relation, 艾恩尼斯关系
. [# A$ C! i; j+ O8 x( J9 iAssessing fit, 拟合的评估
; ?& }* i# A1 }Associative laws, 结合律0 X! g! l6 R2 ^6 c( G% G" e
Asymmetric distribution, 非对称分布
T4 d- L: h* z4 v. cAsymptotic bias, 渐近偏倚7 G/ X) R1 |) r% c7 l- O) ]
Asymptotic efficiency, 渐近效率/ k# t* I9 x5 I4 m
Asymptotic variance, 渐近方差7 F6 n+ A/ }# _
Attributable risk, 归因危险度
' d3 u8 S* c: D, ?# q; o# SAttribute data, 属性资料
6 R \/ F/ ?0 HAttribution, 属性
7 q5 M5 Q; h$ z6 S1 z# D0 AAutocorrelation, 自相关: l v+ z3 c" T
Autocorrelation of residuals, 残差的自相关: |7 z; s3 ~/ z7 A9 O
Average, 平均数4 D6 E7 {/ N$ G( d$ R7 s) N
Average confidence interval length, 平均置信区间长度! F3 l8 w0 ~# u8 W0 d. T; p
Average growth rate, 平均增长率( m, H" [! y- ~4 C2 y
Bar chart, 条形图) c F3 J, @0 p2 y' k5 j
Bar graph, 条形图7 ?# ]+ }3 k1 ^" P6 J: i) w
Base period, 基期1 s5 U3 E) d5 a5 a
Bayes' theorem , Bayes定理! d/ K1 Q/ p( w j* u! Z
Bell-shaped curve, 钟形曲线
8 Y7 M" d5 M$ J% ]9 J: ]! mBernoulli distribution, 伯努力分布! w( `6 u1 M# \6 b, X2 z
Best-trim estimator, 最好切尾估计量5 s$ d# C$ E/ O0 a( h9 Y
Bias, 偏性: {# ^6 k/ [" }& s8 S v' [# l
Binary logistic regression, 二元逻辑斯蒂回归
" z& U& n4 D" L4 i" NBinomial distribution, 二项分布! \" ~" k2 o/ X( V/ T
Bisquare, 双平方) |( W* b' x$ k9 `
Bivariate Correlate, 二变量相关
+ [+ ?2 X l+ X3 k# N, KBivariate normal distribution, 双变量正态分布
3 V) R1 b3 k6 f4 ^Bivariate normal population, 双变量正态总体
9 q' t- X) ^! Y0 ^0 {Biweight interval, 双权区间: f% H ~; R* c$ J2 e, H+ V- V! u
Biweight M-estimator, 双权M估计量4 G2 b/ w$ N+ B' n2 J* q
Block, 区组/配伍组7 l& M. q8 |) D' b8 x! O& a
BMDP(Biomedical computer programs), BMDP统计软件包7 q* w$ N9 k; \6 l. {' |/ ?% J
Boxplots, 箱线图/箱尾图
7 [, a, J6 e1 g, hBreakdown bound, 崩溃界/崩溃点
! T7 S6 y, H2 }1 O' C- N) K4 e+ S! ~% TCanonical correlation, 典型相关
' }( Q1 C& ^: RCaption, 纵标目
% B3 m3 J. }- a8 w S+ KCase-control study, 病例对照研究
0 M; D) G# g0 b% X# tCategorical variable, 分类变量6 A( g3 D0 H! f8 P! s* {3 r" `5 `
Catenary, 悬链线
1 G0 D o1 B3 t7 wCauchy distribution, 柯西分布' s5 F; ~% _! T X2 g
Cause-and-effect relationship, 因果关系/ d- \! m" i9 J- g
Cell, 单元
+ H: H+ y( Q5 S: c5 a+ M) e7 nCensoring, 终检6 d, D8 U2 Q5 ? q) V
Center of symmetry, 对称中心
2 B0 g! I' e7 ~1 x8 wCentering and scaling, 中心化和定标# F2 Y' t R4 O' ]
Central tendency, 集中趋势) ?, f* t, y% S0 R' g- O, ?
Central value, 中心值
3 e0 R1 o: a6 E2 s, A$ U6 v( fCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
, U4 X, ]8 x& i& R+ G ~Chance, 机遇
* J* A) F: E- }0 nChance error, 随机误差
|1 H! o' d' b, m# DChance variable, 随机变量* [% Q( u o* R. y
Characteristic equation, 特征方程* O! Y* l& c3 L) o
Characteristic root, 特征根
; e! G( w8 v( o2 x8 f5 q/ F2 HCharacteristic vector, 特征向量
8 S3 z* D4 F' J$ B% C3 u$ v3 F( AChebshev criterion of fit, 拟合的切比雪夫准则
: H8 o$ J# A1 H. EChernoff faces, 切尔诺夫脸谱图/ W# x$ n0 @+ k/ N4 {% c
Chi-square test, 卡方检验/χ2检验 x8 g# F) b B- I, K$ o0 {$ @0 R' f
Choleskey decomposition, 乔洛斯基分解- }7 J9 K" V- t" l
Circle chart, 圆图 : t) s3 j, z3 C. W3 ~6 V/ S
Class interval, 组距
4 U! H3 U9 i7 Q' W% kClass mid-value, 组中值
+ \& O+ Q& @% A/ BClass upper limit, 组上限
, _* b* K( U7 ^! AClassified variable, 分类变量
$ }* j, D+ h d3 F9 z& n" qCluster analysis, 聚类分析) [: k7 ~3 T8 h- Y! B# a* Z# c
Cluster sampling, 整群抽样
+ B" F7 j1 I t s; p9 Y' ]Code, 代码
' l2 w/ v& i( L$ T$ u+ XCoded data, 编码数据
/ @2 G, l# D- `) o+ ?Coding, 编码
, f. O( Z, ?& r$ rCoefficient of contingency, 列联系数) }! q3 P: C7 b
Coefficient of determination, 决定系数
3 w0 _; |1 `" \Coefficient of multiple correlation, 多重相关系数
) R/ ]9 b: W1 C. W0 l8 pCoefficient of partial correlation, 偏相关系数% p: I4 _2 Q6 f" s
Coefficient of production-moment correlation, 积差相关系数
9 _( A7 M# v1 ^6 ~" P. k* ~; @" XCoefficient of rank correlation, 等级相关系数
0 {0 ?$ A0 L1 }: zCoefficient of regression, 回归系数3 t$ }3 E- e1 N7 F
Coefficient of skewness, 偏度系数' N& c, c' {7 j' R- ^8 G
Coefficient of variation, 变异系数
! y4 I4 A- o. N1 T6 sCohort study, 队列研究+ b% }8 n9 t: H8 a% L7 f+ P( Y
Column, 列3 J6 Q) E% W1 l
Column effect, 列效应4 b5 @+ S% ]; n5 T0 G3 {0 d. C+ R3 {' ~
Column factor, 列因素
5 }/ \# n& V \! N) s* cCombination pool, 合并
5 @. K% d9 _, k. z' OCombinative table, 组合表
~' V4 D/ G6 |- C% y) bCommon factor, 共性因子* m' M/ _5 L; `" v# s3 O" c
Common regression coefficient, 公共回归系数! _5 l* Y& a. @% y+ {
Common value, 共同值
( o+ ?) w: T2 H( ZCommon variance, 公共方差+ E. V# a7 \: T- ?& z# H& P
Common variation, 公共变异
3 m( Z2 T0 Q. v/ m/ a }Communality variance, 共性方差
3 w$ x9 j$ d8 I6 l8 `Comparability, 可比性* [& Z8 G( n" }/ d, p
Comparison of bathes, 批比较6 |. q: u, \4 u7 U
Comparison value, 比较值/ a* E: H" Y( c) Z
Compartment model, 分部模型% \" _' `6 O" i: d( O
Compassion, 伸缩 O: d/ t1 v& m/ ?& |- z2 {
Complement of an event, 补事件
" G' F0 C6 [' W) q2 pComplete association, 完全正相关
5 ~; d9 b0 f$ _0 XComplete dissociation, 完全不相关
1 `# V% f& }7 z- c6 y8 VComplete statistics, 完备统计量, b/ B+ M4 Z0 R' P% G2 z
Completely randomized design, 完全随机化设计1 Q' a& M. z- f: {8 m/ P9 d- G) m( G
Composite event, 联合事件7 l* f5 y3 J3 j7 J
Composite events, 复合事件
: S* F' O% S. W& i' u5 W+ W, d0 ZConcavity, 凹性
( H/ m' O5 e/ o" i1 B6 `7 NConditional expectation, 条件期望
( g) ]5 _' G' O/ z' [) dConditional likelihood, 条件似然
5 l# m: C6 e# tConditional probability, 条件概率4 G: I& `! q! h
Conditionally linear, 依条件线性' k- }5 ^# a5 U: I0 t* h: v
Confidence interval, 置信区间 \, O" \2 |, O
Confidence limit, 置信限$ `; t" h" S9 P( ?+ P C- x1 v
Confidence lower limit, 置信下限8 o, A, z# o) U2 E' c1 `/ I
Confidence upper limit, 置信上限
! }% B' E/ ?$ ^Confirmatory Factor Analysis , 验证性因子分析
. }1 Z, Q! G0 J3 L: H9 CConfirmatory research, 证实性实验研究5 X/ ]2 K7 q6 q) X v% h, W
Confounding factor, 混杂因素/ f- l& U9 b& k% E. w4 t2 Y$ O
Conjoint, 联合分析
4 q% S( C- J$ c5 G1 ]3 w8 S* hConsistency, 相合性
- ]+ m3 h* Y$ P/ T2 |Consistency check, 一致性检验
5 k u5 u0 W+ m0 y+ oConsistent asymptotically normal estimate, 相合渐近正态估计) [6 S' V5 ]: H; R6 P8 }
Consistent estimate, 相合估计
8 T, d9 I( U* m N# UConstrained nonlinear regression, 受约束非线性回归
1 x. {2 O8 }2 S% yConstraint, 约束$ \8 |9 }$ V1 g! I$ @( L
Contaminated distribution, 污染分布, |# w9 [1 c; p( A0 w
Contaminated Gausssian, 污染高斯分布
& `2 x- ?. z- |( r( V! jContaminated normal distribution, 污染正态分布
2 v: G$ B, P4 y- l0 @- m; T/ yContamination, 污染
; L) D, i1 \5 i9 J3 ]$ ]5 yContamination model, 污染模型
3 t) I; t, R+ k jContingency table, 列联表& G3 Y: x0 E( f* T/ z% e
Contour, 边界线
0 z6 ]6 H! X0 q9 ZContribution rate, 贡献率& o# C# y: J) j( z) ^: c
Control, 对照3 ^+ D, U, ~! I" @6 a4 R& j
Controlled experiments, 对照实验1 l5 r' G+ a- T6 M! }- a/ K
Conventional depth, 常规深度
" T2 S+ Z0 A& Q3 T: ]/ QConvolution, 卷积 S+ A5 k6 I4 z2 Q, J+ C! U
Corrected factor, 校正因子
8 h5 l- U5 Q. n* o) A& lCorrected mean, 校正均值
& `/ i9 @8 [$ K( I7 ?Correction coefficient, 校正系数- O: B; H$ u( ~0 _
Correctness, 正确性
# ]6 ^# H; p* g/ a! v# _- |Correlation coefficient, 相关系数
3 I ]4 b0 I, z b; MCorrelation index, 相关指数, l% N; Z* U" H
Correspondence, 对应
7 u1 m! |- i$ `" @: NCounting, 计数( K/ M' I- Y6 E" |9 r G
Counts, 计数/频数
. c1 U+ p+ B" h) P NCovariance, 协方差2 k0 d1 P+ @/ U5 M- T
Covariant, 共变
3 e" ?1 P- U" s! s( k( H1 ^3 vCox Regression, Cox回归
2 Z3 q( U, n& ^4 VCriteria for fitting, 拟合准则7 H& e! q3 c1 ], T
Criteria of least squares, 最小二乘准则
5 Z( Z& o* B; B- Q3 ^Critical ratio, 临界比
P+ V. ?$ V4 }" c7 fCritical region, 拒绝域6 a+ P. h0 X3 l/ Z& F" Y [+ d$ u
Critical value, 临界值
. d* S0 a6 ^) h; h* @( L3 B* OCross-over design, 交叉设计% K7 F8 ^! N5 Q# \( ?
Cross-section analysis, 横断面分析
6 x7 A3 Q) B8 m5 }) }* E; h. d& s. |Cross-section survey, 横断面调查2 ~. Q/ F. ^" l, t& _' u
Crosstabs , 交叉表 ! U% H8 i+ l/ `0 I1 k ]5 H
Cross-tabulation table, 复合表. Q) Y6 b; K3 ]9 R3 e
Cube root, 立方根. @8 |2 n9 V# ~. _; r6 t, Y; p) O
Cumulative distribution function, 分布函数
& `* I# h L0 t' ]Cumulative probability, 累计概率+ x) K, B P2 k( o; T! T8 i1 _6 `& G
Curvature, 曲率/弯曲
1 a9 T8 Z9 s" v: Z3 M5 N3 Y" RCurvature, 曲率; t! [3 t, m& u& v& s$ i+ l
Curve fit , 曲线拟和 w: W/ b9 @; l! L- p+ E
Curve fitting, 曲线拟合
1 B8 | k! m8 mCurvilinear regression, 曲线回归
3 _8 T3 R- v) ? I& w/ A9 S2 Q, d/ bCurvilinear relation, 曲线关系
! u" ]5 k# @, m7 L+ NCut-and-try method, 尝试法
- e( j! v: U1 R- w; J% dCycle, 周期/ h3 R7 a# y7 Q& M( N: K% |/ |
Cyclist, 周期性
" Y+ T8 R8 Q3 D7 G0 @9 ^* MD test, D检验
2 Y' U/ _7 Z0 [0 ?# \: ^# cData acquisition, 资料收集
, R) E( Z$ F( }. AData bank, 数据库
( `+ e& w4 m" K" Y6 vData capacity, 数据容量
) b( r, @# v* IData deficiencies, 数据缺乏- o- [! `6 F2 ^4 R0 X
Data handling, 数据处理
1 Z3 W0 _- e' f% w7 bData manipulation, 数据处理
6 D! b8 {! N' G- Y* X# N3 bData processing, 数据处理
# E8 f% p; Y% v) \0 G7 ~: wData reduction, 数据缩减
3 \5 p/ u* y& Z, ^, MData set, 数据集+ {# q& {7 z! v
Data sources, 数据来源! L8 V, V3 H- s/ D# K" p
Data transformation, 数据变换/ X! K+ k* ^5 u% e
Data validity, 数据有效性8 @7 P3 F* g3 P! m% c, w9 Z9 i, Y
Data-in, 数据输入
2 R" a& C0 R; |Data-out, 数据输出' _ S# F. R9 R# u/ E
Dead time, 停滞期
- ]( Y8 h( `+ e2 W( yDegree of freedom, 自由度
7 `3 A1 c* n* b$ XDegree of precision, 精密度
( G Y) ?( b% W) M: t! sDegree of reliability, 可靠性程度0 y8 E- k7 n) S0 K' {
Degression, 递减3 J8 t/ F) V/ U3 [4 p
Density function, 密度函数
, a9 l( [! |5 L; E' U- H0 wDensity of data points, 数据点的密度
# ~" u: P7 y% E1 \. z, y7 P: ?" oDependent variable, 应变量/依变量/因变量( Y; {, X E6 q1 J) ~# D) O2 f& Q! }
Dependent variable, 因变量 l% u/ G* M, g2 K- g, N
Depth, 深度9 ~8 U) p$ v$ Q N
Derivative matrix, 导数矩阵6 \% w' W V3 O2 G: G# K4 g6 m
Derivative-free methods, 无导数方法6 R* I2 h5 w* d9 M" X/ q, s& e0 q" N
Design, 设计7 B* Q9 o( `. _- L4 s
Determinacy, 确定性$ ?$ {9 F% m- E# L
Determinant, 行列式8 C& r8 L2 `4 { W7 k$ E- {
Determinant, 决定因素, ^; H! k1 A! T7 p5 x6 e
Deviation, 离差
0 e) M. A |7 C6 ^8 t7 X' V- }% ADeviation from average, 离均差
, z/ d8 L' N3 Z/ J; C5 ^Diagnostic plot, 诊断图
. M2 S( q$ C' u$ ^& @Dichotomous variable, 二分变量' p6 D8 K' ~% N4 b/ {' C, V
Differential equation, 微分方程
, W8 n; c/ a4 u9 e& Z: t* e3 y, \Direct standardization, 直接标准化法
$ g" x7 m0 d2 M y) Z1 L, R1 Q6 IDiscrete variable, 离散型变量
1 w! m& `5 K( |1 ~7 t4 ~DISCRIMINANT, 判断
5 x6 v) T* Q& w5 R' DDiscriminant analysis, 判别分析
2 B5 [% o8 ^0 eDiscriminant coefficient, 判别系数
% x* r5 j y7 B% tDiscriminant function, 判别值
% j! g6 _+ ^5 sDispersion, 散布/分散度
- j9 R& X8 A4 ZDisproportional, 不成比例的
( D' x# [2 K/ l9 M& H5 h5 H$ o4 KDisproportionate sub-class numbers, 不成比例次级组含量5 ]: b/ d4 `0 Q) g/ @' c
Distribution free, 分布无关性/免分布6 T( ?2 L/ `. e( u) H$ f0 q% n
Distribution shape, 分布形状
% i# O1 `) b" C+ TDistribution-free method, 任意分布法8 O% @# ^) _" ~ q2 d" W' S; k
Distributive laws, 分配律: _4 H# p0 H* N0 x. V _& r
Disturbance, 随机扰动项
# Q1 r2 w' b" A# Q$ O2 WDose response curve, 剂量反应曲线9 T2 Z+ B, e. W" l
Double blind method, 双盲法7 @4 ` _ ]: b; O3 B
Double blind trial, 双盲试验) y3 |4 ]+ W3 p' u! s
Double exponential distribution, 双指数分布+ E, Y' O( r, {* A7 }- A
Double logarithmic, 双对数- Y d8 V K* z0 f6 ]# `' M u
Downward rank, 降秩
3 M/ V/ [+ F0 m `8 m+ a3 SDual-space plot, 对偶空间图
# C0 u/ @, i E% P9 @& t# tDUD, 无导数方法
; y' B. Z9 l6 Q9 k8 |Duncan's new multiple range method, 新复极差法/Duncan新法% N _; {& n; P; \4 _8 e) ]
Effect, 实验效应
# z& n6 W( ]% LEigenvalue, 特征值
% Z8 v- R: ^% C% GEigenvector, 特征向量- T& c: g* r+ ^7 t& f
Ellipse, 椭圆) J0 o8 D8 F* j
Empirical distribution, 经验分布/ J+ u- ^' T. Y( ?0 w
Empirical probability, 经验概率单位' g4 j! B4 T5 v9 W( t& s
Enumeration data, 计数资料+ Y- E, c6 E) V' q
Equal sun-class number, 相等次级组含量
& ^5 i/ a4 }& Y$ G) }% t& XEqually likely, 等可能
z( J8 F2 p' wEquivariance, 同变性* Q! u8 v Z" h" m# F" o: O3 h4 O: m
Error, 误差/错误$ c' C0 J7 z$ G9 m- K" x
Error of estimate, 估计误差* K' O6 M+ J; e8 `. k
Error type I, 第一类错误
: J( U) P+ n6 @( WError type II, 第二类错误
# R G9 S g# d* q u; x0 _6 qEstimand, 被估量
Z1 O; v1 {; e5 P- P. ?Estimated error mean squares, 估计误差均方" M1 ]' w& h6 ]) c) b8 _: {' ]9 V0 v
Estimated error sum of squares, 估计误差平方和
2 p1 H h" y5 i1 x/ cEuclidean distance, 欧式距离
* z: u7 N, C- z" M* fEvent, 事件
; P( H! S5 v t! }% ?# [3 JEvent, 事件# N6 A2 ]3 U! q% E% K& {* Z
Exceptional data point, 异常数据点+ n2 j) x1 H& r, l5 s) }( p) j% Z- ]
Expectation plane, 期望平面
- l B, f3 E1 s2 ]$ BExpectation surface, 期望曲面4 y! ~; N! b: W/ i& m& [$ |1 R( z
Expected values, 期望值# I% }% P# s! G3 F$ `$ g- I p/ q
Experiment, 实验
& Q# G, l( K( z$ oExperimental sampling, 试验抽样. T! x+ o O. C+ r9 [
Experimental unit, 试验单位3 ~0 R0 t+ b+ m+ L- L5 @
Explanatory variable, 说明变量
* `2 m. i" g3 o. nExploratory data analysis, 探索性数据分析4 D' v4 U% j0 t' n9 t2 I2 ?/ K
Explore Summarize, 探索-摘要
- }2 b2 l2 r- S1 t6 s4 H* AExponential curve, 指数曲线
5 R9 W8 R& {$ Q. C- vExponential growth, 指数式增长' q; W7 q) Q. k
EXSMOOTH, 指数平滑方法
3 s! V" p6 F% BExtended fit, 扩充拟合
! S' b( G! D" C. ] [Extra parameter, 附加参数
, ]' u/ y, m' R9 r5 ~! fExtrapolation, 外推法/ q* ]' A2 C K2 |8 r, w
Extreme observation, 末端观测值* s, c. @9 ~4 D' O6 V- i0 y- u& W
Extremes, 极端值/极值
& D9 P* L [, KF distribution, F分布
2 E, O3 B/ W' F0 F% e. e( nF test, F检验
3 Y" C4 _% T$ u5 N" ZFactor, 因素/因子
' J1 A) a/ r( [% D, m& u0 OFactor analysis, 因子分析
2 z, G2 O7 f: _Factor Analysis, 因子分析: E6 P, ^) u1 A) E
Factor score, 因子得分
- [, ^- j/ V: h B& l g4 ~Factorial, 阶乘- n% s' j$ _ m; t. ^$ r
Factorial design, 析因试验设计) I7 S; c$ A3 H6 ]- w- W l# u8 }
False negative, 假阴性5 r7 h4 u0 Z- @/ [3 ?
False negative error, 假阴性错误& C1 R: X5 R0 G7 U
Family of distributions, 分布族
5 Z$ b4 S4 i. y$ T4 [8 n1 sFamily of estimators, 估计量族) v" B1 T* R5 V% V% m# U8 {' s( \
Fanning, 扇面
9 u/ \7 B4 r! y: a: QFatality rate, 病死率
. \% E; O8 v# \% EField investigation, 现场调查
1 ^' X/ s* x, l/ Y7 v( {Field survey, 现场调查
8 {+ [! ~! Q9 ZFinite population, 有限总体6 `' N" { {# ]8 Z2 X4 o" M: h- X
Finite-sample, 有限样本
/ b; |% J/ |( ?9 eFirst derivative, 一阶导数
7 W* B) A, U+ K* s) b6 bFirst principal component, 第一主成分
0 ~; E6 Y6 _# p, [ I% ~) m1 H- P0 B8 TFirst quartile, 第一四分位数( X& w! O8 q# Y' L* n% m
Fisher information, 费雪信息量9 r1 z- G, ^8 ]2 C; {& t# t
Fitted value, 拟合值4 h% @ W$ q4 h; R K# {* a
Fitting a curve, 曲线拟合; U w) y: q c3 f6 H0 h+ ]
Fixed base, 定基" g& o. m3 I4 Z
Fluctuation, 随机起伏
0 o9 d' ~! N$ D6 U5 e2 h0 o2 OForecast, 预测0 a& x# t( `" X- X
Four fold table, 四格表
+ G6 n- d; a1 o% V" ]" d" M9 ^7 rFourth, 四分点
" G( z j) g; h: N0 k3 I- EFraction blow, 左侧比率6 _+ E2 J+ A; a8 A
Fractional error, 相对误差 D5 r" T D8 w) A' ^/ S
Frequency, 频率1 Z" R. j4 b; E
Frequency polygon, 频数多边图& e5 }" j/ q; }5 R2 h; E g
Frontier point, 界限点
# z' u0 n* |* T- _9 ~+ Q3 k% ZFunction relationship, 泛函关系( s( v7 U! s, B" H
Gamma distribution, 伽玛分布
: U C) ^2 M$ B2 n3 _$ TGauss increment, 高斯增量
7 ]9 N/ ~& _: W$ D5 ~4 {# f# }Gaussian distribution, 高斯分布/正态分布
& @5 e6 D# N# k% J' y( j1 \, bGauss-Newton increment, 高斯-牛顿增量
0 z% b6 h' ?& j2 y3 _7 Z: q% sGeneral census, 全面普查1 V3 Z8 V& C" S) o- c B. _
GENLOG (Generalized liner models), 广义线性模型 * W: L+ u3 q' R* D" {2 d
Geometric mean, 几何平均数
" G. u' V! H& A, [Gini's mean difference, 基尼均差# k! Q$ L( ]6 ^4 e
GLM (General liner models), 一般线性模型 l3 c9 t6 R+ h* }) m' {
Goodness of fit, 拟和优度/配合度, p/ G+ o s. r. h' W- T$ Y- E! R
Gradient of determinant, 行列式的梯度
! z" _/ e9 e( S! a- TGraeco-Latin square, 希腊拉丁方: S* D; M3 u b( d/ n
Grand mean, 总均值
% z/ [, {9 {: f+ W* c V; _Gross errors, 重大错误1 g: E9 w- G3 T) a' b! i6 q
Gross-error sensitivity, 大错敏感度5 z& T P0 n" i
Group averages, 分组平均' u1 s6 w; G- P1 E A
Grouped data, 分组资料! z/ e( ~' i2 h7 m& {. B% D- b
Guessed mean, 假定平均数
7 s2 T/ x8 o$ C: m! I. EHalf-life, 半衰期, X. M: M$ m! l- e1 o, E# ^; Q. \0 W
Hampel M-estimators, 汉佩尔M估计量+ |) t J: t0 I8 C* \8 n) H5 R
Happenstance, 偶然事件& x/ f' r$ C/ X: Y
Harmonic mean, 调和均数9 d8 a1 m' r& F$ G
Hazard function, 风险均数7 Z+ m. f# ?! O
Hazard rate, 风险率* C( Y0 E, o5 H9 m3 ?/ e
Heading, 标目
1 O! O6 o, f, A `; bHeavy-tailed distribution, 重尾分布3 }! m5 J: Z+ @ r" f! [9 W5 }; r
Hessian array, 海森立体阵% C. A* O$ B8 ^) {) O
Heterogeneity, 不同质0 v$ F ?3 R! A: B) L
Heterogeneity of variance, 方差不齐 & Q# A3 l- B+ e) A4 a! W
Hierarchical classification, 组内分组
8 F7 r- K# ?# A5 R0 F) i1 {Hierarchical clustering method, 系统聚类法; k+ G+ d7 l' t* T/ e
High-leverage point, 高杠杆率点
, x/ S, m: d8 n8 Z% }& cHILOGLINEAR, 多维列联表的层次对数线性模型
8 d* I o& z/ E( P2 R4 xHinge, 折叶点
6 L1 `' w2 e* W9 cHistogram, 直方图' h4 Z4 G7 [2 J, \2 m
Historical cohort study, 历史性队列研究 2 n6 q4 \4 x4 R5 p+ L# K
Holes, 空洞& j, N }6 g x' K9 ^* D
HOMALS, 多重响应分析
5 B5 O% K4 k& fHomogeneity of variance, 方差齐性7 n( O j% ^6 ]" F U
Homogeneity test, 齐性检验
4 l3 b I# |! v' @1 K3 p( O4 ~Huber M-estimators, 休伯M估计量
( K9 x& d% v' {8 OHyperbola, 双曲线
) m/ A. k: q: d& d3 j. i0 l% ]/ RHypothesis testing, 假设检验6 g3 ?; w9 w1 m
Hypothetical universe, 假设总体
4 M! X4 v% a& O6 f" T( W' CImpossible event, 不可能事件
5 W( J3 S% Q& S, ]0 D7 i! hIndependence, 独立性+ B1 M% c4 ]1 K% v0 B' H
Independent variable, 自变量5 _- x3 k+ P+ X0 _4 J; f- ^
Index, 指标/指数* L+ g( Y, d# y$ M3 U7 }
Indirect standardization, 间接标准化法5 m' g5 r0 {. U9 n- o$ i; J
Individual, 个体
# F) i S9 l/ nInference band, 推断带
# [8 C X. ~( U$ n& ]Infinite population, 无限总体
1 `- e' g% `$ y" sInfinitely great, 无穷大
; o& T" T- ]! k- F. ~Infinitely small, 无穷小
. o! X0 n- I1 T: oInfluence curve, 影响曲线+ S8 I1 V& S; k
Information capacity, 信息容量
3 ~ A1 f/ E; NInitial condition, 初始条件
" P7 p% |/ n8 b V ~. k+ t; cInitial estimate, 初始估计值
# l0 }0 o& V% W2 M/ e& U- J& X2 bInitial level, 最初水平 C9 Y" u5 F) y% K! N0 P v
Interaction, 交互作用 f/ n. t$ V; ?% I) h6 B" p
Interaction terms, 交互作用项" A: h' ?. K; h+ O
Intercept, 截距
t, ]- N8 t) X) v, `6 M: qInterpolation, 内插法
" g; J9 g' r6 N5 x' q5 h8 `: YInterquartile range, 四分位距3 Y5 o; s- T5 c( h& _
Interval estimation, 区间估计/ D! [( I5 T% _ _) H8 Y; C
Intervals of equal probability, 等概率区间0 Q* e, L$ e; K7 f( Q2 U4 q4 ~
Intrinsic curvature, 固有曲率6 {! q1 u+ d' h9 g6 m
Invariance, 不变性, t# s$ J- ]5 B' l
Inverse matrix, 逆矩阵
/ o3 w. {' C+ R( RInverse probability, 逆概率4 a/ K9 o% O; v$ ?& j+ r
Inverse sine transformation, 反正弦变换
- S( H" v) p: N2 a" @! t: e# h$ {+ UIteration, 迭代 # h7 b- X9 [/ v7 R* N
Jacobian determinant, 雅可比行列式
( q$ K: M! w, h: W( W1 {+ kJoint distribution function, 分布函数
e; a) ]6 Q& q! K7 H8 xJoint probability, 联合概率( p4 P7 ]) I/ s9 q* }! y4 l
Joint probability distribution, 联合概率分布* J6 d. G7 V3 E7 N! B; J1 k
K means method, 逐步聚类法( B( q9 }; }1 n3 @6 @" u
Kaplan-Meier, 评估事件的时间长度
8 t5 m. @2 ^1 a3 `8 y& z+ L. A" TKaplan-Merier chart, Kaplan-Merier图/ w4 Z) ?* H, \1 C; ?$ J* n
Kendall's rank correlation, Kendall等级相关
9 ]0 G) n+ ~) |: W- EKinetic, 动力学6 W* o* k" I5 m. a
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验3 r; o, A9 n7 n8 r1 v! d7 F9 t
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验8 z% Q2 |0 S, Z2 Q, O+ D' E$ v
Kurtosis, 峰度
9 x, ]" R1 G$ q. J* zLack of fit, 失拟
: O6 x% p# D0 r! u. a% d+ pLadder of powers, 幂阶梯) _% J! |: M3 k! n6 D
Lag, 滞后8 C6 h5 c5 K/ q$ Y- W4 D9 z9 B; t( L
Large sample, 大样本
9 z1 y! ?% n' {( H! vLarge sample test, 大样本检验2 L' {2 D: S9 X0 ^
Latin square, 拉丁方/ [0 ]% i+ h7 a% [7 w
Latin square design, 拉丁方设计
1 d% L( x+ m3 W) W4 n7 `( pLeakage, 泄漏
3 D# y& b3 v) S7 j1 c3 hLeast favorable configuration, 最不利构形# v* l* b' J8 r* E6 b
Least favorable distribution, 最不利分布
* T, K L1 y/ p4 W) jLeast significant difference, 最小显著差法) Z0 J( x5 O, w. z/ N3 X
Least square method, 最小二乘法9 F) C3 O& r6 {! \; v. `3 j0 M5 t5 ~6 j
Least-absolute-residuals estimates, 最小绝对残差估计
* S6 c8 }# U, U( j- vLeast-absolute-residuals fit, 最小绝对残差拟合" A1 K; u, ?; o' O( p/ w" ^
Least-absolute-residuals line, 最小绝对残差线3 }/ k6 w5 d+ A! |% ]
Legend, 图例
! O0 n2 `/ g) p+ c$ W, [% G' v3 qL-estimator, L估计量0 O8 q; ^5 v5 } S* I: g" D
L-estimator of location, 位置L估计量( `' u* J" K8 b
L-estimator of scale, 尺度L估计量
4 x! h8 x$ {# |% ^/ C) y& e/ @' t0 }Level, 水平
7 O8 y {) ~; F4 I# f- ]( eLife expectance, 预期期望寿命
# @1 U. U, _9 i, r" {: `Life table, 寿命表
" \' d9 y5 e6 a! _8 ]' g3 q1 tLife table method, 生命表法1 V3 k" @) R! V. a2 |, w; A, ~
Light-tailed distribution, 轻尾分布
- `* b9 _5 p( a5 G( ]7 h/ G: _Likelihood function, 似然函数) D) u2 g9 T6 H% Z" n
Likelihood ratio, 似然比* X3 l0 S% L0 ~9 T" l" D+ X
line graph, 线图# J: V; C+ L9 [/ D' h; `
Linear correlation, 直线相关' r5 p: L6 T2 v7 M4 c1 V3 G
Linear equation, 线性方程! |% s1 w9 u1 @0 n7 s$ n8 h
Linear programming, 线性规划
/ ^# m5 Z! F7 E9 @1 K4 h" a* TLinear regression, 直线回归2 T0 v7 v, M7 o
Linear Regression, 线性回归8 \+ L( a$ `0 T. P- N$ ^
Linear trend, 线性趋势1 t/ a: K( o4 p, m7 r) T: P" j) R0 Q
Loading, 载荷
, d; M) W0 }! A3 YLocation and scale equivariance, 位置尺度同变性4 y* L, b8 K' O4 m6 B
Location equivariance, 位置同变性% ~" u; x- v* f; ^3 b9 i
Location invariance, 位置不变性
3 c+ F' S+ E# X$ [9 F6 L j, vLocation scale family, 位置尺度族. H" ~5 `3 v5 f
Log rank test, 时序检验
0 K9 F% A! }1 y& d" N+ `# h8 ~- PLogarithmic curve, 对数曲线
8 z& m1 t# j8 r( ALogarithmic normal distribution, 对数正态分布, I" u; p% ]5 U
Logarithmic scale, 对数尺度
9 ~( C- z1 B0 ?! Z2 J$ \: ~Logarithmic transformation, 对数变换
, B7 o$ q$ H8 ^Logic check, 逻辑检查# Z5 P/ n) h. y* G) D7 ~- L
Logistic distribution, 逻辑斯特分布$ q( _" N) p1 H' E: Z
Logit transformation, Logit转换" K; l1 F3 N( n* p% U: k$ A
LOGLINEAR, 多维列联表通用模型
0 V+ R6 w1 O+ B* c) v1 NLognormal distribution, 对数正态分布9 Q6 w5 L3 R9 ~8 f
Lost function, 损失函数- e- S' N) g% w3 _
Low correlation, 低度相关! W6 {& v1 d) Y
Lower limit, 下限$ I/ u2 q9 S: z, X9 Y+ j8 O% r
Lowest-attained variance, 最小可达方差/ m- E% c+ D, y S% S. K
LSD, 最小显著差法的简称
2 H2 I# n1 \; r$ Z5 s3 E0 BLurking variable, 潜在变量( @7 \* \' R) j
Main effect, 主效应
7 V7 \" N- a! a& b" P* rMajor heading, 主辞标目) Z2 \2 q! O, ^7 C/ O
Marginal density function, 边缘密度函数
7 `9 _) ^" e% H5 p0 l. tMarginal probability, 边缘概率/ _( {5 J2 X% n9 K+ Y& Y2 k
Marginal probability distribution, 边缘概率分布 e) l% B6 ^7 H+ ~% `9 p
Matched data, 配对资料2 U' n6 v! V: m4 C1 @! {. j
Matched distribution, 匹配过分布+ |( S8 O" g+ d; X$ C$ [7 A, L
Matching of distribution, 分布的匹配' p0 @& [$ c$ l2 }
Matching of transformation, 变换的匹配
. c* z3 j. @+ d( [0 C- J9 D- v# Q% OMathematical expectation, 数学期望
! }/ H7 w7 @, }" _Mathematical model, 数学模型0 v4 N1 Q; F6 F4 S: X/ g! r
Maximum L-estimator, 极大极小L 估计量
) O8 d, T& o/ S% s7 j3 U% e. PMaximum likelihood method, 最大似然法. t! @7 z6 O( x) Q1 o: `
Mean, 均数
/ O2 X* T* w+ W1 IMean squares between groups, 组间均方* V3 b9 ~+ a6 C t0 b
Mean squares within group, 组内均方. D2 d u4 ^9 Z/ i
Means (Compare means), 均值-均值比较
8 }7 u' z4 q' C$ t( Q( xMedian, 中位数$ ^9 X3 [8 M9 M4 C* g
Median effective dose, 半数效量
' F! N8 ^3 ]' h, G3 Q2 ZMedian lethal dose, 半数致死量
9 X$ Y4 Z- c: ^2 mMedian polish, 中位数平滑# z; Z) K* R9 D7 P
Median test, 中位数检验: K# Y1 _, X/ G0 I4 R# [
Minimal sufficient statistic, 最小充分统计量
% D/ q' `: X W, t7 fMinimum distance estimation, 最小距离估计
# }- f- y9 o4 D$ |" \0 sMinimum effective dose, 最小有效量
6 e7 K6 G4 s* v, k+ BMinimum lethal dose, 最小致死量
+ n; O* q+ J _( T+ ]9 U- }$ YMinimum variance estimator, 最小方差估计量" n3 t9 N: N9 n# e3 C( ?4 {
MINITAB, 统计软件包
# M7 J5 X) @& H0 `, T$ Z$ f/ a. ^Minor heading, 宾词标目4 e4 f! A; d' l
Missing data, 缺失值3 ~8 Q; J, |. t% H4 H W
Model specification, 模型的确定
5 I& m8 s( D& OModeling Statistics , 模型统计
Y2 r" y& @- r5 Z3 {Models for outliers, 离群值模型1 I6 \5 d- t7 v% B
Modifying the model, 模型的修正- `& T& U# j1 y$ ^0 A
Modulus of continuity, 连续性模
# `* v. @- E5 t' A) W) kMorbidity, 发病率
/ s. [' m" m% n8 @. Z4 cMost favorable configuration, 最有利构形
9 A7 E! K& y- X$ h" y8 x" m8 M' FMultidimensional Scaling (ASCAL), 多维尺度/多维标度
4 Z# g! c4 Q4 P! {8 [( dMultinomial Logistic Regression , 多项逻辑斯蒂回归
3 _1 |, ?* T. ` f" p8 AMultiple comparison, 多重比较
( R4 T; w: y3 w0 D7 ZMultiple correlation , 复相关4 h2 O; Y0 D" m+ U# H$ M
Multiple covariance, 多元协方差" K. C6 h7 c& U+ M2 x
Multiple linear regression, 多元线性回归8 I6 B: a9 o3 U. W$ |7 `
Multiple response , 多重选项- q5 w/ C0 |. Q/ E! G% _! D4 K$ W
Multiple solutions, 多解
# Q2 C5 l" f6 B E: `Multiplication theorem, 乘法定理
' K2 d! A/ b) S8 b9 U( |% oMultiresponse, 多元响应% z4 S2 l8 k9 R# Q1 ]; `* W
Multi-stage sampling, 多阶段抽样% d9 q( i% \4 w4 F* B- o8 {3 R
Multivariate T distribution, 多元T分布
( C# O* x+ m" Y( |3 H5 \; a/ J7 z/ L1 vMutual exclusive, 互不相容 Y" U8 |$ U* L
Mutual independence, 互相独立
9 H; R4 U5 ]& f* UNatural boundary, 自然边界' u8 L( a# N0 H7 g3 S$ p
Natural dead, 自然死亡7 K3 V: s3 N7 r
Natural zero, 自然零
8 T1 e9 p# _+ j8 C/ i2 u! \Negative correlation, 负相关' i) D$ O% q& }+ k7 z
Negative linear correlation, 负线性相关2 w) B# Q9 R: ?9 L
Negatively skewed, 负偏5 h3 f' z, I6 O5 D0 `
Newman-Keuls method, q检验
5 y- T' y D7 ?' f" tNK method, q检验9 m# a7 d0 [ d8 H1 ?8 ]
No statistical significance, 无统计意义+ M& _& P/ a9 @
Nominal variable, 名义变量) S1 q/ z" w: j7 G
Nonconstancy of variability, 变异的非定常性3 B {: k8 S% ~
Nonlinear regression, 非线性相关
' C3 ^' N- E0 S& g1 x. L, J& t mNonparametric statistics, 非参数统计6 K6 f' o+ |% x' |& e
Nonparametric test, 非参数检验
" M9 {4 Z1 W: t3 v l/ M& o5 S! lNonparametric tests, 非参数检验6 V: q' P2 p+ m3 A& Y
Normal deviate, 正态离差
! D6 W# g& ?! a4 o/ |, a* ONormal distribution, 正态分布# y5 P/ f; ^* M0 N
Normal equation, 正规方程组
" X% _; J2 `$ ]: \# s3 p# nNormal ranges, 正常范围
; T8 K7 ]. n, ?: t. F. \Normal value, 正常值' ~3 Y) ]6 J7 q6 B. z. L
Nuisance parameter, 多余参数/讨厌参数
' p; q: _ U3 W$ q0 ?1 fNull hypothesis, 无效假设
' v* t% L& v2 KNumerical variable, 数值变量, C" I4 k0 x: H/ n
Objective function, 目标函数
, C7 o! y; F' n3 Z9 {Observation unit, 观察单位) v5 i, P5 s: R4 k( T! T
Observed value, 观察值7 K3 U+ i; _. f# D1 u. F+ J9 s
One sided test, 单侧检验) G o7 y1 b# N7 H
One-way analysis of variance, 单因素方差分析
, S# s0 i+ W1 x: R) r* S( \& j- HOneway ANOVA , 单因素方差分析
7 M) I/ N, l0 O' ?Open sequential trial, 开放型序贯设计+ S+ S* ?4 a& z- g: j+ b3 l9 ]
Optrim, 优切尾% k9 u" J$ j9 E4 r' K$ j
Optrim efficiency, 优切尾效率
9 x1 b* M+ d Q7 n; ?& g! q# uOrder statistics, 顺序统计量
/ U6 S& a0 e) J. }4 @0 L' P# ^+ qOrdered categories, 有序分类
! U9 ^% J% @+ T X# ^5 q3 rOrdinal logistic regression , 序数逻辑斯蒂回归
v4 v: O( q" _4 R8 U6 F6 p3 UOrdinal variable, 有序变量
: J5 h; h( O' \* k9 GOrthogonal basis, 正交基; w" l# C9 P. i+ W; U: \6 o; j
Orthogonal design, 正交试验设计5 u+ ^' S9 e- m
Orthogonality conditions, 正交条件
" ?0 t5 D; X$ B9 U( TORTHOPLAN, 正交设计 ! `6 S; ~' S9 G
Outlier cutoffs, 离群值截断点; Z+ j9 r' J! |* `: Z
Outliers, 极端值
, v# O+ J: l% q5 H/ l: xOVERALS , 多组变量的非线性正规相关 & J1 D7 X* J3 {0 o; d( \
Overshoot, 迭代过度4 R* S" Y# S- t+ M/ U+ S
Paired design, 配对设计
9 a: w- k. C0 _8 BPaired sample, 配对样本- P# Q! I$ f1 W, V
Pairwise slopes, 成对斜率
6 i& ~) i3 U/ LParabola, 抛物线
2 F8 W, f, P! ^* B9 B8 cParallel tests, 平行试验6 B2 o2 H! h: ` X$ p
Parameter, 参数% M; b$ u* o8 k. o+ X5 i
Parametric statistics, 参数统计
}8 M {: c+ u4 T5 w2 e3 ?9 u/ FParametric test, 参数检验' i2 o5 P5 N) W* h9 V5 e
Partial correlation, 偏相关( \0 D* ?2 g( s0 k
Partial regression, 偏回归0 l8 l% }) R9 M; b
Partial sorting, 偏排序
. {% e; q0 l- D: U' IPartials residuals, 偏残差
5 A- n- S4 g, ~1 APattern, 模式* j5 y/ S/ J4 x% F
Pearson curves, 皮尔逊曲线
! v. y0 P; ]/ B0 J# BPeeling, 退层
8 h/ \) W. [( j3 t- K2 [* C4 cPercent bar graph, 百分条形图
" W# m& i% e/ Q$ i( w% hPercentage, 百分比
' x7 b7 e; N" V9 [* H' I6 \Percentile, 百分位数" |/ ^8 k) w! E2 w3 O
Percentile curves, 百分位曲线6 d2 I( c6 Z- I9 I( [5 y$ S
Periodicity, 周期性0 C( u5 `9 b# T# P2 `
Permutation, 排列/ A: F& x+ o/ P) k. K8 G% {
P-estimator, P估计量
& {1 h2 [' x( G$ V8 B* JPie graph, 饼图
; q( {' V% Z( bPitman estimator, 皮特曼估计量 ?8 d: w& D- H' Y$ c: R
Pivot, 枢轴量% i! g4 z& V$ b* K9 E7 H
Planar, 平坦
z$ \8 _. T- R+ lPlanar assumption, 平面的假设
7 n# g# U9 t& A2 j+ zPLANCARDS, 生成试验的计划卡
7 T% }4 } X" ]! u! F$ y5 rPoint estimation, 点估计1 _+ D* Z. J( \) j( F8 x- }
Poisson distribution, 泊松分布
6 f. O) Z: f4 [8 P$ hPolishing, 平滑
/ A! O# r9 B& H- zPolled standard deviation, 合并标准差8 c3 p7 w4 Q, ^) O% J5 B; b
Polled variance, 合并方差
0 n) E; n3 b/ l& F. Z8 @Polygon, 多边图
9 b- f3 k- ^1 u. v. s0 ~1 ~Polynomial, 多项式* x, _$ s5 v- l4 ]& ?8 w* V
Polynomial curve, 多项式曲线
' S- C- q$ h* I: @Population, 总体
3 T+ R9 x/ W/ _! G' G" gPopulation attributable risk, 人群归因危险度0 X& e5 o" O6 ^! ]% u; D7 C
Positive correlation, 正相关4 ] z) ^$ T% n/ S' e
Positively skewed, 正偏: d$ ]8 s- T" Q, [. w) W# C( P9 h
Posterior distribution, 后验分布
F9 D) s7 g8 s9 mPower of a test, 检验效能5 f/ g5 a" J4 u. i; g
Precision, 精密度8 u8 p1 v* y' u6 e4 N7 B
Predicted value, 预测值" J) Q6 {9 T# `. b1 G) A2 k$ R
Preliminary analysis, 预备性分析# g8 R. l7 `" }, [: s$ p
Principal component analysis, 主成分分析
. M: `3 U" W/ U& @% y1 UPrior distribution, 先验分布$ j; V; b0 M( \6 Z3 P
Prior probability, 先验概率
6 M. ?! y v) ^' j; hProbabilistic model, 概率模型
# W$ s* ~+ r M! s1 d! W. rprobability, 概率$ S: r, D4 J# a
Probability density, 概率密度
/ X u9 O* s1 a' ~( a, n' ?+ A7 {- iProduct moment, 乘积矩/协方差( U" O [) R# f2 @/ {! C t
Profile trace, 截面迹图% n: X2 E/ D. B/ g. ?7 a
Proportion, 比/构成比& ]# q: j$ F' ~- |: h9 Y
Proportion allocation in stratified random sampling, 按比例分层随机抽样
! B1 ^0 w" ^. O6 e v( d( x# ?( o) ZProportionate, 成比例
; [7 j( o5 u, }6 a6 bProportionate sub-class numbers, 成比例次级组含量0 J! V6 N* a7 w X2 c* I( O) V) |
Prospective study, 前瞻性调查, S+ t, W# Y0 T4 H0 C! u9 }( }
Proximities, 亲近性
5 q, Z9 o! T; M* j' X, R: I; UPseudo F test, 近似F检验
- f8 B. I6 n: F! e5 n. yPseudo model, 近似模型, d. N8 ~" q( q5 D" I" v
Pseudosigma, 伪标准差: ]# y3 Q: z0 Y' o6 c9 i
Purposive sampling, 有目的抽样& \$ Y& q+ X. l. W6 H1 j
QR decomposition, QR分解
5 h# f' X6 ~! `, xQuadratic approximation, 二次近似+ s& @8 |0 \! H. k# f; V
Qualitative classification, 属性分类: k- |1 e& \5 u! v& ^( [+ [
Qualitative method, 定性方法
: u. J5 Z. H% L. c2 W8 x/ C% BQuantile-quantile plot, 分位数-分位数图/Q-Q图
! Q8 N4 e% x; ^2 hQuantitative analysis, 定量分析# \4 X! `; U' b( p9 u: |# c: L- H5 h
Quartile, 四分位数
. O" ^' r/ W6 A( e9 l6 ^" |Quick Cluster, 快速聚类$ C2 | ]( q' P; V; h1 B
Radix sort, 基数排序3 {- g9 c7 R2 L: @8 a
Random allocation, 随机化分组
) m: }0 a0 P; F0 [* TRandom blocks design, 随机区组设计
3 i' _" n$ L+ ?4 ]3 G- z& aRandom event, 随机事件
j3 y4 @- ~8 ~0 K% \Randomization, 随机化
( c7 J. {: e% O% SRange, 极差/全距6 m( n- ]' B! s& w6 C/ s
Rank correlation, 等级相关
. P: z; f/ J" n8 I2 g! r8 nRank sum test, 秩和检验
# a9 y; [) G8 [! |. v( }3 \Rank test, 秩检验
+ H: w4 s0 u4 b* ERanked data, 等级资料
. U4 |7 Z% t- I- DRate, 比率8 X; m: a% H: G1 h5 i8 a% |' g- ?
Ratio, 比例
5 p( \9 D, F/ q- c2 dRaw data, 原始资料% u6 w+ B8 ?4 `( C7 n+ L
Raw residual, 原始残差( { j1 x# Z$ h
Rayleigh's test, 雷氏检验
8 p% G% m1 Z+ k7 o5 iRayleigh's Z, 雷氏Z值 : m5 u1 i( e0 {, p, i1 X+ G
Reciprocal, 倒数
; B- S' z' H! k5 FReciprocal transformation, 倒数变换
' E6 j6 h: ~$ f, @4 v" S$ u* ?Recording, 记录' P3 H# ]! m' I" g
Redescending estimators, 回降估计量: Y% B0 o! C7 ]# p8 h
Reducing dimensions, 降维# y1 g! F3 Z: Y
Re-expression, 重新表达
7 j7 i" Y1 n2 t& L) j+ S: ^0 _Reference set, 标准组
' p9 ?+ H8 B; T% IRegion of acceptance, 接受域
! c: f1 S8 R* w6 dRegression coefficient, 回归系数, }- [1 @" C5 T& g8 e# `
Regression sum of square, 回归平方和1 l; q" a G$ l6 _0 ~
Rejection point, 拒绝点
! X9 P! t' S8 n5 S, a9 TRelative dispersion, 相对离散度" f: [+ o4 L' t- z2 D. N# n! ^
Relative number, 相对数
7 T6 r7 m9 q1 W. o! _Reliability, 可靠性3 J( F$ ~, r' E+ C3 i* m% P
Reparametrization, 重新设置参数7 f3 u+ E# y, r) ^
Replication, 重复
3 G$ R. H) i; i6 D2 ?2 fReport Summaries, 报告摘要
! A% }: d7 ~% v: R* D q7 c" hResidual sum of square, 剩余平方和
5 c4 n4 Z* }) i2 f1 ]3 ^1 H9 S- n) ]Resistance, 耐抗性
1 S" o) Q+ u2 |* |Resistant line, 耐抗线
9 s! x; s# h3 [Resistant technique, 耐抗技术# c0 D9 C, W; [* p0 J
R-estimator of location, 位置R估计量
; N* P0 k, @+ qR-estimator of scale, 尺度R估计量
- m+ N$ c+ g: u K3 s6 G+ H/ C, {Retrospective study, 回顾性调查
4 w8 M/ }8 p) g8 b& K: `; DRidge trace, 岭迹
' W. Y& }4 C" H! kRidit analysis, Ridit分析4 N* J }3 M% o( M
Rotation, 旋转! a( n/ a; V7 P$ y
Rounding, 舍入
& M- f m# d; Q+ Y/ T& @) LRow, 行
0 f. B) `( q8 uRow effects, 行效应
8 P2 J5 f3 n9 `# o; ^) q! XRow factor, 行因素
; z& X! X1 U% w; S8 U) ]0 mRXC table, RXC表
+ [# \9 e7 W, LSample, 样本
# A7 d% A7 H3 }0 U% k! i: Y5 }; C4 USample regression coefficient, 样本回归系数: N# H9 g6 @ V! q
Sample size, 样本量
" p3 f3 T1 g- ^9 b [5 X& o3 ySample standard deviation, 样本标准差: w7 @* z n! ~/ d6 d ?9 N5 N) y$ s
Sampling error, 抽样误差
/ z2 n5 ?2 K0 n" [- ]; q# FSAS(Statistical analysis system ), SAS统计软件包* A9 L% t/ c, A
Scale, 尺度/量表+ @+ t# K) ]" A3 E* f( U
Scatter diagram, 散点图/ i& b/ ?3 Q& F" s. y
Schematic plot, 示意图/简图, |5 `5 g: A5 L$ y' p
Score test, 计分检验
2 Y- g+ v) n. f- N: N+ t5 aScreening, 筛检
0 E* f# u# |! F' Q3 xSEASON, 季节分析 - K' l! h6 Y8 s @$ h3 D
Second derivative, 二阶导数0 Y! Y& L6 F3 C, v$ w- ?7 T5 o
Second principal component, 第二主成分
, e3 L- s7 u. m, I$ R, e, `' Z% qSEM (Structural equation modeling), 结构化方程模型
! E9 [ z$ c) O8 q( H( RSemi-logarithmic graph, 半对数图
7 K5 m. D* x- S0 J- tSemi-logarithmic paper, 半对数格纸- O7 h* }" e& [( G4 C' F' N _
Sensitivity curve, 敏感度曲线
( v8 A5 i" n+ h8 DSequential analysis, 贯序分析9 O$ R" _$ ]$ W) p: w
Sequential data set, 顺序数据集
( q8 H7 c8 |0 o+ Z, R+ I# w% QSequential design, 贯序设计, R+ D% S ?7 `0 }5 {) A% ?
Sequential method, 贯序法4 H. H% q% s- @3 ]) d& ]
Sequential test, 贯序检验法
; J5 f; v4 u ~6 Z. A7 v. }* QSerial tests, 系列试验
0 ^" A4 | N* q% B, a& P& NShort-cut method, 简捷法
0 b# g5 ?" o8 W$ N' L9 ]! u" PSigmoid curve, S形曲线1 D+ e8 F6 Q6 @: r" ~
Sign function, 正负号函数9 i$ ^& r, [% E' \4 C& c& F, W9 N6 S
Sign test, 符号检验9 H/ X) H. X8 }5 [9 ]. x
Signed rank, 符号秩3 B+ Y5 J1 f$ V1 D5 V
Significance test, 显著性检验
! V. ?# Y& X, QSignificant figure, 有效数字
7 S- y- m' o7 P( J+ r5 H, WSimple cluster sampling, 简单整群抽样
1 t# Z- m' d! K+ nSimple correlation, 简单相关
/ ^+ M$ s! Z9 }6 O- m4 |; tSimple random sampling, 简单随机抽样7 |8 i; J3 P v" Q; `
Simple regression, 简单回归
! m) v2 T2 S" b& I$ |/ V3 W Xsimple table, 简单表; z% l0 n( I* C2 i+ @, a2 I
Sine estimator, 正弦估计量: q# i; B4 ]. c2 B
Single-valued estimate, 单值估计
* {+ M' o b) v ^/ [Singular matrix, 奇异矩阵! g% _( m2 O; {; Y5 x% F
Skewed distribution, 偏斜分布
2 ~4 I" T9 N: m( x# sSkewness, 偏度- t. t$ u/ U: y' c7 H
Slash distribution, 斜线分布. }+ s' }4 O& y! F V- ]
Slope, 斜率
$ r0 h6 \4 Q2 V4 Z9 _: A9 u0 ^9 YSmirnov test, 斯米尔诺夫检验# z% E3 I' M/ F& e, `
Source of variation, 变异来源
0 P, F0 C2 c2 a6 ]: D, F" uSpearman rank correlation, 斯皮尔曼等级相关/ V. ~: c$ H% B
Specific factor, 特殊因子
7 J2 w) T$ ?* D9 X) VSpecific factor variance, 特殊因子方差
* v; y- ~- ~6 F) v8 bSpectra , 频谱
, ]3 G: G/ y! {9 lSpherical distribution, 球型正态分布
5 u) L/ T7 s% T2 j4 E* fSpread, 展布
' q% V- B+ {; d0 cSPSS(Statistical package for the social science), SPSS统计软件包
# n' m" H" A/ q4 q, @% i* h8 gSpurious correlation, 假性相关" ^$ D" `0 f0 ?' w- F
Square root transformation, 平方根变换6 U- x8 F% W9 ]5 ]
Stabilizing variance, 稳定方差
/ H' }' V- `7 OStandard deviation, 标准差
# w! G. j: `4 z% H2 D# dStandard error, 标准误! l# L- B; P5 M4 B) y
Standard error of difference, 差别的标准误
) e/ t+ F: A$ l3 yStandard error of estimate, 标准估计误差, c7 X6 h w9 ]) w/ X5 N2 z$ a
Standard error of rate, 率的标准误4 ^# g/ X' _, K* U0 O2 k" }9 N3 Y( R
Standard normal distribution, 标准正态分布3 h: t# s5 R3 W2 ?- ^$ k t( o
Standardization, 标准化
5 z; w2 {, {( y) Y3 aStarting value, 起始值1 u* f# h' `5 a/ ^0 ^
Statistic, 统计量
* I$ }' L) o* c# l7 N2 }- q) ]Statistical control, 统计控制" X/ z! k1 | I+ u
Statistical graph, 统计图1 k9 G+ L( j7 M; F8 [
Statistical inference, 统计推断
; A- H: X, e# s, u: rStatistical table, 统计表0 i& x. E' ~4 Q2 m
Steepest descent, 最速下降法. U# O! y# j3 t
Stem and leaf display, 茎叶图
% d/ _9 z' x- i$ a8 |Step factor, 步长因子
2 d+ P& E6 Y3 i! PStepwise regression, 逐步回归: }: O" |$ o/ r N: g! ?# N
Storage, 存. ?& K9 S. M3 a/ L
Strata, 层（复数）
( {$ u, p) S1 H2 ?+ I1 ]) F$ `1 qStratified sampling, 分层抽样; W. C3 f* [: U
Stratified sampling, 分层抽样4 S4 k/ s5 n* U' \1 E
Strength, 强度
3 y' u. v7 P' e6 r6 T. IStringency, 严密性
& m7 ^" i) j* {- G- ?Structural relationship, 结构关系
% ~- N" `. l2 [Studentized residual, 学生化残差/t化残差* _7 x$ O8 h9 J2 W/ W
Sub-class numbers, 次级组含量: p6 q: B* f* d, d3 x' c
Subdividing, 分割
& y: C; r) v' S; E, f( LSufficient statistic, 充分统计量
- I' I$ e7 H% ^4 w- s6 NSum of products, 积和& y- y' Z3 o# j0 F; {# n
Sum of squares, 离差平方和6 i1 i3 N" E* `+ v7 E3 g0 y6 }( a
Sum of squares about regression, 回归平方和2 b2 E; s+ x8 X, _* m2 x$ K$ J
Sum of squares between groups, 组间平方和7 ?. d; s( J. f4 ?# |) g/ x
Sum of squares of partial regression, 偏回归平方和
+ i# \ V6 {/ M0 |, ?% GSure event, 必然事件/ J8 r7 d f5 M8 V. \
Survey, 调查' G5 m2 O8 e1 ]0 d. e/ N# o) u/ D
Survival, 生存分析2 T' k% J" D; W; `( C) `
Survival rate, 生存率
$ o, d; [4 T, q/ N5 L# _- N4 PSuspended root gram, 悬吊根图
* g/ O, f+ Z/ \5 P$ ]! LSymmetry, 对称& w; i, Q, O! |4 @. P! X! N
Systematic error, 系统误差
) p0 s& o. u, y4 H: K2 s$ PSystematic sampling, 系统抽样
' C/ {9 F2 h6 d& {Tags, 标签
: A% i$ X: E$ A6 w6 E6 d8 Q4 ?Tail area, 尾部面积* e" h" Z$ `3 r, q
Tail length, 尾长' O) r) I3 a+ e0 A
Tail weight, 尾重2 W& A* _6 Y+ [9 [
Tangent line, 切线
& O$ @) A$ {5 C, b/ M" g2 jTarget distribution, 目标分布
, }8 B4 [2 w8 E9 ATaylor series, 泰勒级数
4 }, M+ H5 [% L8 {% g* h0 z& nTendency of dispersion, 离散趋势" t( b M; q4 a% x2 [* h2 q7 Z4 R$ O
Testing of hypotheses, 假设检验' i; ^) m& z* R' m4 U
Theoretical frequency, 理论频数$ [! c* Y+ j) J2 y& [. S
Time series, 时间序列
+ z/ P, W( k# h$ H) @Tolerance interval, 容忍区间
0 \9 P. j2 y) p+ z6 WTolerance lower limit, 容忍下限2 V; Q, u/ H* r/ o0 k
Tolerance upper limit, 容忍上限
1 i) c8 ?/ C8 ITorsion, 扰率
( w( T) i9 \; E0 O8 S" B. ~8 q9 vTotal sum of square, 总平方和6 g$ M+ o( [- @: E/ _: h8 e9 n% s
Total variation, 总变异+ W: ?; ^, |4 C0 q+ n5 I; _
Transformation, 转换1 r7 {8 a* m" O/ W% `$ n# l
Treatment, 处理
& T) N# Q1 d* @Trend, 趋势
, k1 A4 N2 f' A) b. qTrend of percentage, 百分比趋势6 L8 @& V( z& t5 P6 }
Trial, 试验$ d$ L; Q" i- s' } [
Trial and error method, 试错法
8 u* t% e$ H4 _8 g: STuning constant, 细调常数
1 U# T8 T9 V; Y! L, wTwo sided test, 双向检验
6 K' O6 K: q' P9 N, h+ @" V2 E) G* PTwo-stage least squares, 二阶最小平方! @ q3 P' t4 i) Y! _/ V% ~
Two-stage sampling, 二阶段抽样
1 K+ M I2 ^ J- |! u- Z z( {Two-tailed test, 双侧检验9 a! R; J6 d8 L4 S, v, J- I7 e, }
Two-way analysis of variance, 双因素方差分析
. T) f( K2 P* R: |Two-way table, 双向表
8 J5 Z1 q: a! g IType I error, 一类错误/α错误
0 Y7 Z3 T, g' D5 D& oType II error, 二类错误/β错误
+ v N3 C4 \# g! SUMVU, 方差一致最小无偏估计简称
: _" X" n9 ?+ `- D4 z- K+ k: \% UUnbiased estimate, 无偏估计
4 J0 d9 c0 i, [Unconstrained nonlinear regression , 无约束非线性回归2 N& r, K$ i$ T$ O1 N- A
Unequal subclass number, 不等次级组含量: `. l+ }: }% A6 W+ X0 k) c# f
Ungrouped data, 不分组资料9 U# W1 Q; T& J" p+ d4 m' {
Uniform coordinate, 均匀坐标! q. U% X* G. H7 w3 A
Uniform distribution, 均匀分布; t4 v% P0 d- s ~" ^ B
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
, v3 V8 B# e$ Q% M, a, lUnit, 单元
- R. I* a; t. a% A- H6 AUnordered categories, 无序分类
. M! [/ K7 e& L( ^" |% A3 mUpper limit, 上限
9 K* F) y! h7 h. \6 j# yUpward rank, 升秩
7 T, p$ G, @5 D2 tVague concept, 模糊概念, b% @- v# N* G. \; V' g
Validity, 有效性+ f# _/ p' ]; f; U' ]7 `5 W0 r
VARCOMP (Variance component estimation), 方差元素估计1 C$ ?) \! C l" r9 \8 r7 ?4 E; f
Variability, 变异性* m# p: a) {: L: s8 r8 `8 S
Variable, 变量
. B$ u# c+ G. NVariance, 方差
+ e0 ^! R; V. `# v7 O* EVariation, 变异
/ }* F+ H: g4 {$ I2 VVarimax orthogonal rotation, 方差最大正交旋转! r; T. C! e$ t+ L/ _$ W! A
Volume of distribution, 容积
# \) u8 T) J- aW test, W检验
8 e3 r% p, g4 A% q7 ^/ uWeibull distribution, 威布尔分布
7 j9 S9 v# Y; Q1 }- W+ E. S9 YWeight, 权数
W7 r# J2 s4 e$ l& U' C8 d6 V1 _* oWeighted Chi-square test, 加权卡方检验/Cochran检验
! e; k2 M; s5 n# i( BWeighted linear regression method, 加权直线回归* \: m# P/ y9 F. h3 ^
Weighted mean, 加权平均数0 C3 D" W! N8 ^3 M& V
Weighted mean square, 加权平均方差. G; V/ V, \3 P( |7 z, l
Weighted sum of square, 加权平方和
b; c( ?. y! e# eWeighting coefficient, 权重系数+ |5 E) b: [* G8 n$ S- A
Weighting method, 加权法 $ f( D- c. _ z: x$ H& s3 \3 x; n
W-estimation, W估计量, K2 w! \ D3 P" {0 r1 S3 \
W-estimation of location, 位置W估计量1 a+ m. Z5 Q Z' A
Width, 宽度: X3 {# E' W; z0 \* r
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
- V" Y% h* \2 ?+ v RWild point, 野点/狂点
+ u- K5 J/ V P" Y9 `$ F2 LWild value, 野值/狂值6 K9 W( x9 D* I- L! h
Winsorized mean, 缩尾均值8 f- \/ b& |* q( T3 I( o) k4 U- |: n
Withdraw, 失访 ; P8 C2 S& H$ @( D4 V$ u
Youden's index, 尤登指数
' `6 d7 U J$ E0 {Z test, Z检验
: o, ]6 k9 {' T5 ^Zero correlation, 零相关; T* r, l% o0 l! J9 P( [
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
